[docs] fix wandb url (#13094)

This commit is contained in:
Lavanya Shukla
2020-12-28 17:19:17 -08:00
committed by GitHub
parent 836c5d5a91
commit 350917958c
4 changed files with 11 additions and 11 deletions
+2 -2
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@@ -3,7 +3,7 @@
Using Weights & Biases with Tune
================================
`Weights & Biases <https://www.wandb.com/>`_ (Wandb) is a tool for experiment
`Weights & Biases <https://www.wandb.ai/>`_ (Wandb) is a tool for experiment
tracking, model optimizaton, and dataset versioning. It is very popular
in the machine learning and data science community for its superb visualization
tools.
@@ -12,7 +12,7 @@ tools.
:height: 80px
:alt: Weights & Biases
:align: center
:target: https://www.wandb.com/
:target: https://www.wandb.ai/
Ray Tune currently offers two lightweight integrations for Weights & Biases.
One is the :ref:`WandbLoggerCallback <tune-wandb-logger>`, which automatically logs
+1 -1
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@@ -168,7 +168,7 @@ You can see the :doc:`tutorial here </tune/tutorials/tune-mlflow>`.
WandbLogger
-----------
Tune also provides a default logger for `Weights & Biases <https://www.wandb.com/>`_. You can install Wandb via ``pip install wandb``.
Tune also provides a default logger for `Weights & Biases <https://www.wandb.ai/>`_. You can install Wandb via ``pip install wandb``.
You can see the :doc:`tutorial here </tune/tutorials/tune-wandb>`
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@@ -85,8 +85,8 @@ Pytorch Lightning
Wandb, MLFlow
~~~~~~~~~~~~~
- :ref:`Tutorial <tune-wandb>` for using `wandb <https://www.wandb.com/>`__ with Ray Tune
- :doc:`/tune/examples/wandb_example`: Example for using `Weights and Biases <https://www.wandb.com/>`__ with Ray Tune.
- :ref:`Tutorial <tune-wandb>` for using `wandb <https://www.wandb.ai/>`__ with Ray Tune
- :doc:`/tune/examples/wandb_example`: Example for using `Weights and Biases <https://www.wandb.ai/>`__ with Ray Tune.
- :doc:`/tune/examples/mlflow_example`: Example for using `MLFlow <https://github.com/mlflow/mlflow/>`__ with Ray Tune.
- :doc:`/tune/examples/mlflow_ptl_example`: Example for using `MLFlow <https://github.com/mlflow/mlflow/>`__ and `Pytorch Lightning <https://github.com/PyTorchLightning/pytorch-lightning>`_ with Ray Tune.
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@@ -75,7 +75,7 @@ def _clean_log(obj: Any):
def wandb_mixin(func: Callable):
"""wandb_mixin
Weights and biases (https://www.wandb.com/) is a tool for experiment
Weights and biases (https://www.wandb.ai/) is a tool for experiment
tracking, model optimization, and dataset versioning. This Ray Tune
Trainable mixin helps initializing the Wandb API for use with the
``Trainable`` class or with `@wandb_mixin` for the function API.
@@ -109,7 +109,7 @@ def wandb_mixin(func: Callable):
values.
Please see here for all other valid configuration settings:
https://docs.wandb.com/library/init
https://docs.wandb.ai/library/init
Example:
@@ -225,7 +225,7 @@ class _WandbLoggingProcess(Process):
class WandbLoggerCallback(LoggerCallback):
"""WandbLoggerCallback
Weights and biases (https://www.wandb.com/) is a tool for experiment
Weights and biases (https://www.wandb.ai/) is a tool for experiment
tracking, model optimization, and dataset versioning. This Ray Tune
``LoggerCallback`` sends metrics to Wandb for automatic tracking and
visualization.
@@ -251,7 +251,7 @@ class WandbLoggerCallback(LoggerCallback):
values.
Please see here for all other valid configuration settings:
https://docs.wandb.com/library/init
https://docs.wandb.ai/library/init
Example:
@@ -382,7 +382,7 @@ class WandbLogger(Logger):
This `Logger` class is deprecated. Use the `WandbLoggerCallback`
callback instead.
Weights and biases (https://www.wandb.com/) is a tool for experiment
Weights and biases (https://www.wandb.ai/) is a tool for experiment
tracking, model optimization, and dataset versioning. This Ray Tune
``Logger`` sends metrics to Wandb for automatic tracking and
visualization.
@@ -415,7 +415,7 @@ class WandbLogger(Logger):
values.
Please see here for all other valid configuration settings:
https://docs.wandb.com/library/init
https://docs.wandb.ai/library/init
Example: